We have developed graduate voice measures which we'll be putting through rigorous cognitive testing to ensure they stand up to other data sources. We will be providing a diversity of measures of graduate success, which we will be publishing alongside linked data.

We anticipate using the three new measures of graduate success in experimental statistical releases once the first round of NewDLHE surveying has been completed. These releases will be subject to careful review over a couple of years to ensure the data is valid.

Responses to these questions will ask graduates to measure these issues on a scale from ‘strongly agree’ to ‘strongly oppose’. This scale would form the basis of these experimental releases.

There is still additional work to do on these questions. We will be subjecting these – and the entire NewDLHE survey – to cognitive testing to ensure we are gathering robust and revealing information.

Feedback on subjective well-being measures was mixed, with some being strongly in favour, and some against. Therefore, these measures are only included as optional question banks, allowing those providers who are interested in these measures to make use of them.

Dashboards will be available to HE providers to access the raw survey data. Some data may also be made available to HESA’s statutory customers (such as the funding councils) prior to the full release of processed data.

The dashboards which provide data back to providers will be created and managed by HESA. The data supply process will continue to be overseen by HESA. HESA will continue to adhere to high levels of data protection and data security measures.

HESA will be publishing full details of how the survey will operate within the restrictions of GDPR in due course, however we envisage that providers will be able to include this data within their systems.

No. The HE sector and graduate labour market have changed substantially since we began collecting destinations data and we feel that to try to preserve a time series will impede our ability to collect the robust and meaningful data that is required.